The agent successfully gathered and synthesized a complete overview of Double Numérique's business model, positioning, and pricing by fetching three core pages (homepage, about, pricing). The site is moderately agent-ready: it publishes clear service descriptions and pricing structure, but lacks case studies, competitor comparisons, AI tool vendor names, and price ranges — forcing the agent to highlight gaps rather than fill them from inference.

• ›The homepage and /a-propos pages directly exposed the core service model (audit → design → test → deploy → supervise), target audience (TPE/PME), and method, making the business model discoverable without search or guessing.
• ›Pricing is partially published: only the maintenance fee (300–600 €/month) has a stated range; audit and deployment are 'sur devis' (quoted), with no ranges or timelines given. The agent correctly reported this as a gap rather than inferring ranges.
• ›The about page clarified the ambiguous phrase 'Vous validez, ils exécutent' as human approval + AI/agent execution, but did not name the AI tools used or the team size — agent correctly noted this as unresolved rather than speculating.
• ›No client case studies, testimonials, measured results, or named competitors appear on the fetched pages. The agent reported these as genuine missing elements rather than creating them from model memory.
• ›The site's navigation structure (clear menu links from homepage to /tarifs, /a-propos, /contact) made the agent's URL discovery 67% link-following; the 33% typed-from-memory likely refers to the homepage itself, indicating the site is structurally navigable once entered.